http://arxiv.org/abs/2211.06460
Correlations between velocity measurements in disk galaxy rotation curves are usually neglected when fitting dynamical models. Here I show how data correlations can be taken into account in rotation curve decompositions using Gaussian Processes. I find that marginalizing over correlation parameters proves critical to obtain unbiased estimates of the luminous and dark matter distributions in galaxies.
L. Posti
Tue, 15 Nov 22
56/103
Comments: 4 pages, 1 figure. Published in RNAAS. Associated jupyter notebook at this https URL